DETAIL Matters: Measuring the Impact of Prompt Specificity on Reasoning in Large Language Models

This article, sourced from ArXiv, focuses on the impact of prompt specificity on the reasoning capabilities of Large Language Models (LLMs). It suggests that the level of detail in a prompt significantly influences how well an LLM can reason. The research likely involves experiments to quantify this impact, potentially comparing different prompt styles and levels of detail across various reasoning tasks. The title itself highlights the importance of detail, indicating a core finding of the study.